The RoleAs a Platform Engineer, you will help build, operate, and improve the cloud platforms and infrastructure that support Wayve's software development and release systems.
Working as part of a team, you'll focus on maintaining reliable, scalable, and secure cloud environments, while improving the systems that enable efficient software development, testing, and deployment. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, automation, and platform engineering.
Key Responsibilities- Build, maintain, and improve cloud infrastructure (primarily Azure) to support development, testing, and production environments.
- Contribute to Infrastructure-as-Code (IaC) implementations (e.g. Terraform, Ansible) to ensure consistent and repeatable infrastructure provisioning.
- Support and improve CI/CD pipelines and deployment systems running in cloud environments.
- Monitor, troubleshoot, and optimise cloud systems for performance, reliability, and cost efficiency.
- Assist in managing containerised workloads and orchestration platforms (e.g. Docker, Kubernetes).
- Implement and maintain observability tools (logging, metrics, alerting) to ensure system health and rapid incident response.
- Work with engineering teams to ensure infrastructure meets application requirements and supports scalable software delivery.
- Help improve security, access control, and compliance within cloud environments.
- Participate in incident response and root cause analysis for infrastructure and deployment issues.
- Continuously improve automation, reducing manual operations across infrastructure and deployment workflows.
About YouEssential:- 2-5 years of experience in DevOps, cloud infrastructure, or related engineering roles.
- Hands-on experience with at least one cloud platform (Azure, AWS, or GCP).
- Experience with Infrastructure-as-Code tools (e.g. Terraform, Ansible).
- Familiarity with CI/CD systems and cloud-based deployment pipelines.
- Basic understanding of networking, cloud architecture, and system reliability.
- Strong troubleshooting and problem-solving skills.
Desirable:- Experience with containerisation and orchestration (Docker, Kubernetes).
- Familiarity with monitoring and observability tools (e.g. Prometheus, Grafana, ELK).
- Experience working with Linux systems and shell scripting.
- Programming or scripting experience (e.g. Python, Bash, Go, or similar).
- Understanding of security best practices in cloud environments.
- Exposure to large-scale or distributed systems
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
